Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI Research Engineer to spearhead Project 2026. We are building the next generation of adaptive, self-learning algorithms that will redefine human-computer interaction. If you thrive in a high-velocity, innovation-first environment and want to leave a permanent mark on the future of technology, this is your stage.
As a key player in our research division, you will work at the intersection of neuroscience and machine learning, pushing the boundaries of what is possible in neural network architecture. We offer a competitive compensation package, equity packages, and the flexibility to work from our state-of-the-art Austin facility or remotely.
Responsibilities
- Architect Next-Gen Neural Models: Design and implement cutting-edge deep learning architectures, focusing on efficiency and scalability for real-world deployment.
- Drive Project 2026 Innovation: Lead the research and development of proprietary algorithms aimed at achieving AGI (Artificial General Intelligence) milestones by 2026.
- Data Strategy & Optimization: Oversee the end-to-end data pipeline, from synthetic data generation to model training and validation, ensuring zero-latency performance.
- Collaborative Research: Partner with cross-functional teams including software engineers, product managers, and cognitive scientists to translate theoretical research into market-ready products.
- Mentorship: Guide a team of junior researchers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or artificial intelligence research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA. Experience with quantum computing libraries or neuromorphic hardware is a plus.
- Problem Solving: Demonstrated ability to solve complex, open-ended problems with innovative technical solutions.
- Communication: Exceptional ability to present complex technical concepts to non-technical stakeholders and write high-quality academic or technical papers.